运用神经网络识别复合材料板刚度

COMPOSITE PLATE STIFFNESS IDENTIFICATION USING NEURAL NETWORKS

  • 摘要: 提出了一种复合材料刚度识别的新方法。通过一个反向传播神经网络, 利用正交各向异性板的动态特性(固有频率) 识别复合材料板刚度。同时给出了实例用来验证此方法的有效性。

     

    Abstract: A new methodology is presented for composite plate stiffness identification. The orthotropic plate stiffness coefficients are identified from its dynamic properties (eigenvalues and eigenvectors) through a backward propagation neural network, which is constructed by three layer subnets. An example is used to demonstrate the effectiveness of the method.

     

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